If AI is a revolution, why are most machine learning and artificial intelligence projects stuck in the pilot phase? Even at companies with a mature data science team, the number of great ideas that make it out of the lab and into a production machine learning environment is shockingly low.
IN THS WEBINAR, WE’LL EXPLORE:
- Barriers to AI and Machine Learning success
- Requirements to enabling enterprise AI and ML
- Why a GPU-accelerated data platform can offer a unified AI/ML solution to drive adoption at scale
MEET THE HOSTS:
Dan Woods – CEO of Evolved Media & Chief Analyst of Early Adopter Research
Dan creates ideas about technology products, based on a broad technical understanding. By writing as an analyst in Forbes and working with Evolved Media’s clients, he sees the magic in technology and why it matters to IT buyers.
Saif Ahmed, Kinetica
Saif Ahmed is an accomplished quantitative developer, machine learning practitioner, and senior executive with two decades of experience in management consulting, quantitative hedge funds, and AI software startups. He has held a number of senior roles and serviced clients across the US, Europe, the Middle East and Asia. Saif is currently applying his experience at Kinetica, leading ML Product Engineering efforts for a next-generation Machine Learning product line with database adjacency.
